Mannes Poel

Mannes Poel

Universiteit Twente

H-index: 36

Europe-Netherlands

About Mannes Poel

Mannes Poel, With an exceptional h-index of 36 and a recent h-index of 22 (since 2020), a distinguished researcher at Universiteit Twente, specializes in the field of Artificial Intelligence, Machine Learning, Brain Computer Interfacing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Fluid Viscosity and Density Determination With Machine Learning-Enhanced Coriolis Mass Flow Sensors

Machine learning-enhanced mass flow measurements using a Coriolis mass flow sensor

Complication Prediction after Esophagectomy with Machine Learning

Database of lower limb kinematics and electromyography during gait-related activities in able-bodied subjects

Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models

Detecting Fear of Heights Response to a Virtual Reality Environment Using Functional Near-Infrared Spectroscopy

Unsupervised Representation Learning in Deep Reinforcement Learning: A Review

Adaptive Lower Limb Pattern Recognition for Multi-Day Control

Mannes Poel Information

University

Position

Assistant Professor of Computer Science

Citations(all)

4603

Citations(since 2020)

1782

Cited By

3400

hIndex(all)

36

hIndex(since 2020)

22

i10Index(all)

87

i10Index(since 2020)

38

Email

University Profile Page

Universiteit Twente

Google Scholar

View Google Scholar Profile

Mannes Poel Skills & Research Interests

Artificial Intelligence

Machine Learning

Brain Computer Interfacing

Top articles of Mannes Poel

Title

Journal

Author(s)

Publication Date

Fluid Viscosity and Density Determination With Machine Learning-Enhanced Coriolis Mass Flow Sensors

Romas Zubavicius

Dennis Alveringh

Mannes Poel

Jarno Groenesteijn

Remco GP Sanders

...

2024/1/21

Machine learning-enhanced mass flow measurements using a Coriolis mass flow sensor

Romas Zubavicius

Dennis Alveringh

Mannes Poel

Jarno Groenesteijn

Remco GP Sanders

...

2024/2/21

Complication Prediction after Esophagectomy with Machine Learning

Diagnostics

Jorn-Jan van de Beld

David Crull

Julia Mikhal

Jeroen Geerdink

Anouk Veldhuis

...

2024/2/17

Database of lower limb kinematics and electromyography during gait-related activities in able-bodied subjects

Scientific Data

Robert V Schulte

Erik C Prinsen

Leendert Schaake

Robert PG Paassen

Marijke Zondag

...

2023/7/14

Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models

arXiv preprint arXiv:2306.15512

Nicolò Botteghi

Federico Califano

Mannes Poel

Christoph Brune

2023/6/27

Detecting Fear of Heights Response to a Virtual Reality Environment Using Functional Near-Infrared Spectroscopy

Frontiers in Computer Science

Luciënne A. e With

Nattapong Thammasan

Mannes Poel

2022

Unsupervised Representation Learning in Deep Reinforcement Learning: A Review

Nicolò Botteghi

Mannes Poel

Christoph Brune

2022/8/27

Adaptive Lower Limb Pattern Recognition for Multi-Day Control

Sensors

Robert V Schulte

Erik C Prinsen

Jaap H Buurke

Mannes Poel

2022/1

Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes

BMC medical informatics and decision making

Deepika Verma

Duncan Jansen

Kerstin Bach

Mannes Poel

Paul Jarle Mork

...

2022/9/1

Exploring the brain activity related to missing penalty kicks: An fNIRS study

Frontiers in Computer Science

Max WJ Slutter

Nattapong Thammasan

Mannes Poel

2021/5/7

Curiosity-driven reinforcement learning agent for mapping unknown indoor environments

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Nicolò Botteghi

B Sirmacek

M Poel

C Brune

R Schulte

2021/6/17

Low Dimensional State Representation Learning with Reward-shaped Priors

Nicolò Botteghi

Ruben Obbink

Daan Geijs

Mannes Poel

Beril Sirmacek

...

2021/1/10

Towards autonomous pipeline inspection with hierarchical reinforcement learning

Nicolò Botteghi

Luuk Grefte

Mannes Poel

Beril Sirmacek

Christoph Brune

...

2021/12/16

Appropriate healthcare referrals of patients with chronic musculoskeletal pain? We can do better: a multimodal artificial intelligence approach

Wendy d'Hollosy

Duncan Jurriaan Jansen

Mannes Poel

2021/1/29

An ensemble of autonomous auto-encoders for human activity recognition

Neurocomputing

Kemilly Dearo Garcia

Cláudio Rebelo de Sá

Mannes Poel

Tiago Carvalho

João Mendes-Moreira

...

2021/6/7

Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics

arXiv preprint arXiv:2107.01677

Nicolò Botteghi

Mannes Poel

Beril Sirmacek

Christoph Brune

2021/7/4

Perceived Mental Workload Classification Using Intermediate Fusion Multimodal Deep Learning

Frontiers in human neuroscience

Tenzing C Dolmans

Mannes Poel

Jan-Willem JR van’t Klooster

Bernard P Veldkamp

2021/1/11

Applying machine learning on patient-reported data to model the selection of appropriate treatments for low back pain: A Pilot Study

Wendy Oude Nijeweme-d'Hollosy

Lex van Velsen

Mannes Poel

Catharina Groothuis-Oudshoorn

Remko Soer

...

2020/2/24

Interpersonal EEG Synchrony While Listening to a Story Recorded Using Consumer-Grade EEG Devices

Nattapong Thammasan

Anne-Marie Brouwer

Mannes Poel

Jan van Erp

2020

Data synchronisation and processing in multimodal research

Measuring Behavior 2020-21 Volume

TC Dolmans

M Poel

JWJR van’t Klooster

BP Veldkamp

2020

See List of Professors in Mannes Poel University(Universiteit Twente)

Co-Authors

H-index: 103
Maja Pantic

Maja Pantic

Imperial College London

H-index: 59
Paul Havinga

Paul Havinga

Universiteit Twente

H-index: 54
Anton Nijholt

Anton Nijholt

Universiteit Twente

H-index: 44
Marco Wiering

Marco Wiering

Rijksuniversiteit Groningen

H-index: 33
Ronald Poppe

Ronald Poppe

Universiteit Utrecht

H-index: 29
Jason Farquhar

Jason Farquhar

Radboud Universiteit

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